Triple

T4752506
Position Surface form Disambiguated ID Type / Status
Subject College of Natural Resources E105509 entity
Predicate hasDepartment P35 FINISHED
Object Department of Forestry and Environmental Resources
The Department of Forestry and Environmental Resources is an academic unit focused on education and research in forestry, natural resource management, and environmental sustainability.
E467408 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Department of Forestry and Environmental Resources | Statement: [College of Natural Resources, hasDepartment, Department of Forestry and Environmental Resources]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Forestry and Environmental Resources
Context triple: [College of Natural Resources, hasDepartment, Department of Forestry and Environmental Resources]
  • A. Department of Forest Science
    The Department of Forest Science is an academic division at Hokkaido University's Faculty of Agriculture that focuses on education and research in forestry, forest ecosystems, and sustainable forest management.
  • B. Department of Forest Science
    The Department of Forest Science is an academic unit at the University of Tokyo dedicated to education and research in forestry, forest ecosystems, and sustainable management of forest resources.
  • C. College of Forest Resources
    The College of Forest Resources is an academic unit at Mississippi State University specializing in forestry, wildlife, natural resources, and environmental sciences education and research.
  • D. College of Forestry, Wildlife and Environment
    The College of Forestry, Wildlife and Environment is Auburn University’s specialized academic unit focused on education and research in forestry, wildlife, natural resources, and environmental sciences.
  • E. College of Natural Resources
    The College of Natural Resources is a University of Idaho academic division specializing in natural resource science, management, and policy education and research.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Department of Forestry and Environmental Resources
Triple: [College of Natural Resources, hasDepartment, Department of Forestry and Environmental Resources]
Generated description
The Department of Forestry and Environmental Resources is an academic unit focused on education and research in forestry, natural resource management, and environmental sustainability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Forestry and Environmental Resources
Target entity description: The Department of Forestry and Environmental Resources is an academic unit focused on education and research in forestry, natural resource management, and environmental sustainability.
  • A. Department of Forest Science
    The Department of Forest Science is an academic division at Hokkaido University's Faculty of Agriculture that focuses on education and research in forestry, forest ecosystems, and sustainable forest management.
  • B. Department of Forest Science
    The Department of Forest Science is an academic unit at the University of Tokyo dedicated to education and research in forestry, forest ecosystems, and sustainable management of forest resources.
  • C. College of Forest Resources
    The College of Forest Resources is an academic unit at Mississippi State University specializing in forestry, wildlife, natural resources, and environmental sciences education and research.
  • D. College of Forestry, Wildlife and Environment
    The College of Forestry, Wildlife and Environment is Auburn University’s specialized academic unit focused on education and research in forestry, wildlife, natural resources, and environmental sciences.
  • E. College of Natural Resources
    The College of Natural Resources is a University of Idaho academic division specializing in natural resource science, management, and policy education and research.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64e5fba88190b1f28d1b0eed3f8e completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a5ddf088190892d31275adb39ba completed March 21, 2026, 6:27 a.m.
NEDg Description generation batch_69be3d05e8a081908cdcb37620078fa6 completed March 21, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_69be3daa7e0081908971df65613c9df6 completed March 21, 2026, 6:41 a.m.
Created at: March 20, 2026, 1:20 p.m.